Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm

2014 ◽  
Vol 33 (1) ◽  
pp. 218-232 ◽  
Author(s):  
R. Kia ◽  
F. Khaksar-Haghani ◽  
N. Javadian ◽  
R. Tavakkoli-Moghaddam
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Layout Design ◽  
Design Model ◽  
Cellular Manufacturing System

Two-Stage Design for Cellular Manufacturing System

2012 ◽  
Vol 220-223 ◽  
pp. 137-140
Author(s):  
Ling Gou ◽  
Cong Lu ◽  
Jun Feng Fei
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Cell Formation ◽  
Layout Design ◽  
Cellular Manufacturing System ◽  
Two Stage ◽  
Stage Design ◽  
Second Stage ◽  
Handling Cost

Cell formation（CF）and cellular layout design are the two main steps in designing a cellular manufacturing system (CMS). Efficient grouping is the prerequisite of a successful Cellular Manufacturing, and it is too hard to obtain a perfect consequence of CF and layout simultaneously. In this paper, a two-stage strategy is used to solve CF problem and layout sequentially. At the first stage, the cells are formed based on the part-machine clustering results obtained through the genetic algorithm, to get the initial inter-cell layout. At the second stage, the genetic algorithm is used to improve the solution obtained, to minimize the handling cost and maximize the utility of the machines.

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